Staff Data Scientist, Safety Insights

Reddit, Inc.

Staff Data Scientist at Reddit shaping user safety metrics and product strategies. Collaborating cross-functionally to drive analytics and innovation in safety initiatives.

Posted 5/20/2026full-timeRemote • 🇺🇸 United StatesLead💰 $217,000 - $303,900 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead the measurement strategy for user safety by defining metrics, frameworks, and dashboards that quantify and monitor safety experiences across Reddit.
Use data and science-backed methods to inform the strategic direction of Safety product development and to rigorously assess the impact of product launches and policy or enforcement changes.
Design and execute experiments and quasi-experimental / inferential causal analyses (e.g., difference-in-differences, synthetic controls, matching) to estimate the impact and ROI of safety initiatives, and use these results for opportunity sizing and prioritization.
Own the design, development, and maintenance of scalable models and prototypes leveraging statistical, machine learning, or GenAI methodologies to improve Reddit safety.
Tactically support product development and go-to-market, from problem framing and exploratory analysis through to experimentation, launch evaluation, and post-launch monitoring.
Stay current on advances in ML, LLMs, and related methods, and evaluate where they can meaningfully improve abuse detection, risk identification, and enforcement workflows.
Translate complex analyses into clear narratives and recommendations for stakeholders, acting as a data storyteller who can influence decisions at all levels of the Safety and Moderation orgs.
Mentor and up-level junior Data Scientists and Analysts in technical approaches for detecting and mitigating abuse, fostering a culture of rigor and curiosity.

Requirements

What you’ll need

Relevant experiences in Data Science, Applied Science, or Economist roles, preferably for safety, enforcement engineering, fraud etc.
Ph.D. or M.S. degree in Statistics, Economics, Computer Science, Applied Mathematics or other quantitative fields (If M.S., a minimum of 8+ years of industry data science experience required; If PhD degree, a minimum of 4+ years of industry data science experience required)
Fluent with statistical analysis, programming languages (e.g., Python) and SQL.
Comfortable in innovative and fast-paced environments, and an innate ability to bias toward action
Strong technical communication and demonstrated ability to discuss complex topics with technical and non-technical audiences alike
Able to tackle ambiguously defined problems and deconstruct them into precisely scopable components that can be meaningfully addressed with data.

Benefits

Comp & perks

Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data sciencestatistical analysismachine learningprogramming languagesPythonSQLexperimental designcausal analysismetrics developmentdata storytelling

Soft Skills

technical communicationproblem solvingmentoringinfluencing decisionscuriosityadaptabilityaction-orientedcollaborationanalytical thinkingnarrative development

Certifications

Ph.D. in StatisticsM.S. in StatisticsM.S. in EconomicsM.S. in Computer ScienceM.S. in Applied Mathematics